The AI-native spreadsheet for high-velocity data enrichment and autonomous research.
Spreads represents the 2026 shift from static calculation engines to agentic data environments. Unlike traditional spreadsheets that require manual formulas, Spreads utilizes a multi-LLM orchestration layer (integrating GPT-4o, Claude 3.5, and specialized scrapers) to treat every cell as a potential autonomous agent. Its technical architecture is optimized for high-throughput batch processing, allowing users to transform a single URL or company name into a fully enriched row containing verified emails, LinkedIn profiles, and technographic data. The platform’s unique 'Deep Scraper' capability bypasses traditional anti-bot measures by utilizing headless browser clusters, feeding clean HTML directly into LLM prompts for structured extraction. By 2026, Spreads has positioned itself as the middleware for GTM (Go-To-Market) teams who require the flexibility of a grid-based UI with the power of a custom-built data pipeline. It bridges the gap between low-code tools like Zapier and high-end data platforms like Clay, focusing on a 'search-and-synthesize' workflow that automates the most tedious aspects of market research and lead qualification.
A distributed headless browser cluster that renders JavaScript-heavy sites for AI extraction.
The AI-powered data scientist that automates complex analysis, visualization, and predictive modeling through sandboxed code execution.
Instantly convert natural language instructions into complex Excel, Google Sheets, and SQL formulas.
Turn natural language into complex Excel formulas and SQL queries in seconds.
The AI-powered data assistant for Excel, Google Sheets, and SQL workflows.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Cross-references data points across multiple LLMs to ensure factual accuracy.
Uses vector embeddings to identify duplicate records that aren't exact string matches.
Agents that can navigate sub-pages of a domain to find hidden data points like 'Privacy Officers'.
Real-time updates to cells based on external web events or social media mentions.
Dynamically generates column headers based on unstructured PDF or Text inputs.
Sequentially tries multiple data providers until a valid result is found.
Manually finding decision-makers for 500+ companies.
Registry Updated:2/7/2026
Keeping track of shifting prices across 20 different e-commerce sites.
Checking if global landing pages are correctly translated and culturally relevant.